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J Agric Food Chem. 2005 Jul 13;53(14):5682-90.

Prediction of the wine sensory properties related to grape variety from dynamic-headspace gas chromatography-olfactometry data.

Author information

1
Department of Analytical Chemistry, Science Faculty, Universidad de Zaragoza, 50009 Zaragoza, Spain.

Abstract

Wine extracts obtained by a dynamic headspace sampling technique were studied by quantitative gas chromatography-olfactometry (GC-O) to determine the aroma profiles of six young monovarietal Spanish white wines. A partial least-square regression study was carried out to look for models relating wine aroma properties with GC-O scores. Models were validated by sensory analysis. Four out of the five most important sensory descriptors were satisfactorily described by a model, and sensory tests confirmed most of the predictions. The main aroma differences between these wines are due to the ratio linalool/3-mercaptohexyl acetate. Floral, sweet, and muscat are positively related to the concentration of linalool and negatively to that of 3-mercaptohexyl acetate. Tropical fruit is related to the wine content in this last odorant. 2-Phenyl acetate, reinforced by other acetates, can also contribute to floral and sweet notes. Alkyl-methoxypyrazines lessen the tropical fruit note, and acetic acid lessens the muscat nuance.

PMID:
15998133
DOI:
10.1021/jf047870a
[Indexed for MEDLINE]

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